Xiaohongshu MCP Server

Xiaohongshu MCP Server

An MCP server that enables AI assistants to interact with Xiaohongshu to publish image notes, search content, and manage account details. It uses Playwright to securely handle session authentication and API signatures through the platform's internal network context.

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README

xiaohongshu-mcp-server

<!-- mcp-name: io.github.shanyang-me/xiaohongshu-mcp -->

A Model Context Protocol (MCP) server for Xiaohongshu (Little Red Book) - China's leading lifestyle social media platform.

Publish image notes, search content, view note details, and manage your account - all through MCP tools that AI assistants can use directly.

How It Works

Uses Playwright to run a headless Chromium browser that:

  1. Loads your XHS session cookies
  2. Generates authentic API signatures via the XHS web app's built-in signing function
  3. Makes API calls through the browser's network context (bypasses anti-bot detection)
  4. Uploads images directly to XHS CDN

No browser automation of UI elements - all interactions go through XHS's internal API.

Tools

Tool Description
check_login_status Check if you're logged in
get_login_qrcode Generate QR code for login
check_qrcode_status Poll QR scan status & save session
reload_cookies Reload cookies from disk
publish_content Publish an image note with title, text, images, and tags
search_feeds Search XHS notes by keyword
get_feed_detail Get full details of a note
user_profile Get user profile information

Installation

pip install xiaohongshu-mcp-server
playwright install chromium

For QR code image generation (optional):

pip install "xiaohongshu-mcp[qrcode]"

Quick Start

1. Start the server

HTTP mode (for Claude Code, Cursor, etc.):

xhs-mcp --transport http --port 18060

stdio mode (for Claude Desktop):

xhs-mcp --transport stdio

2. Login

Call the get_login_qrcode tool, scan the QR code with the Xiaohongshu app, then call check_qrcode_status with the returned qr_id and code. Cookies are saved to ~/.xhs-mcp/cookies.json and persist across restarts.

3. Use

Ask your AI assistant to publish a note, search for content, etc.

Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "xhs-mcp": {
      "command": "xhs-mcp",
      "args": ["--transport", "stdio"]
    }
  }
}

Claude Code

claude mcp add xhs-mcp --transport http http://localhost:18060/mcp

Then start the server: xhs-mcp

As a LaunchAgent (macOS auto-start)

Create ~/Library/LaunchAgents/com.xhs-mcp.plist:

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
    <key>Label</key>
    <string>com.xhs-mcp</string>
    <key>ProgramArguments</key>
    <array>
        <string>/path/to/your/venv/bin/xhs-mcp</string>
    </array>
    <key>RunAtLoad</key>
    <true/>
    <key>KeepAlive</key>
    <true/>
    <key>StandardOutPath</key>
    <string>/tmp/xhs-mcp.log</string>
    <key>StandardErrorPath</key>
    <string>/tmp/xhs-mcp.err</string>
</dict>
</plist>
launchctl load ~/Library/LaunchAgents/com.xhs-mcp.plist

Example: Publish a Note

# Via MCP tool call
publish_content(
    title="Hello XHS!",
    content="My first post published via MCP.",
    images=["/path/to/photo.jpg"],
    tags=["MCP", "AI"]
)

Requirements

  • Python 3.12+
  • Chromium (installed via playwright install chromium)
  • A Xiaohongshu account

License

MIT

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